AWS
Amazon Web Services
DeepLearning4j
EC2
Eclipse
Kaggle
New York Times
R
- Interactive association rules exploration app
- Advanced tips and tricks with data.table
- Render reports directly from R scripts
- Blogging with Jekyll and R Markdown using knitr
- Latent Dirichlet Allocation - under the hood
- New York Times Article Search API to MongoDB
- Scraping with Selenium
- DIY building an R package
- Deploying Shiny apps with shinyapps.io
- How accurate is Next Bus III: getting the answers
- How accurate is Next Bus II: wrangling data
R package
RDS
RMarkdown
RSelenium
RStudio
Rmarkdown
S3
Scala
Selenium
Shiny
SimpleDB
Yelp
analysis
api
arules
arulesViz
association analysis
association rules
blogging
chinese postman problem
computer vision
d3
data science
- Exploring convolutional neural networks with DL4J
- Managing managed libraries with Scala and Eclipse
- Interactive association rules exploration app
- Association rule analysis beyond transaction data
- Advanced tips and tricks with data.table
- Render reports directly from R scripts
- Blogging with Jekyll and R Markdown using knitr
- Latent Dirichlet Allocation - under the hood
- New York Times Article Search API to MongoDB
- Scraping with Selenium
- DIY building an R package
- Getting feet wet with AWS
- Deploying Shiny apps with shinyapps.io
- When Google Search fails, and when it doesn't
- How accurate is Next Bus IV: visualizing
- How accurate is Next Bus III: getting the answers
- How accurate is Next Bus II: wrangling data
- How accurate is Next Bus I: extracting data from API
data wrangling
data.table
dataviz
deep learning image processing
functional programming
geo
giant master
github
google search
graphs
html
image recognition
javascript
jekyll
knitr
latent dirichlet allocation
leaflet
markdown
mongoDB
networkx
new zealand
nextbus
north island
osm
pdf
photography
postman_problems
python
report
rural postman problem
sbt
search engine
shiny
shinyapps.io
sleeping giant
south island
text mining
topic modeling
travel
web scraping
workflow
